Student: Jihaad Pienaar Supervisor: Mr Mehrdad Ghaziasgar Co-Supervisor: Mr James Connan Mentors: Mr Roland Foster & Mr Kenzo Abrahams Anaglyph Videos.

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Student: Jihaad Pienaar Supervisor: Mr Mehrdad Ghaziasgar Co-Supervisor: Mr James Connan Mentors: Mr Roland Foster & Mr Kenzo Abrahams Anaglyph Videos

AGENDA ITEMSLIDE A. INTRODUCTION Project overview3.4 Definitions5 Requirement Analysis 6 B. USER INTERFACE SPECIFICATIONS 7-13 C. IMPLEMENTATION D. TESTING21-23 E. DEMO F. REFERENCES26

A. INTRODUCTION – PROJECT OVERVIEW A system which allows users to convert 2D videos into an Anaglyph 3D equivalent. A. INTRODUCTION

Stereo Pair Contains two views of a scene side by side, ex. The human eye uses stereo pairs, as the left eye produces a left image and the right eye produces a right image. Stereoscopic 3D Is the illusion of giving an individual the perception of depth in using what would commonly be seen as traditional two-dimensional visual media. Depth Map An image or image channel that contains information relating to the distance of the surfaces of scene objects from a viewpoint. A. INTRODUCTION A. INTRODUCTION – DEFINITIONS

Depth Map Parallaxing Stereoscopic pair of images Re-combine Conversion REQUIREMENT ANALYSIS A. INTRODUCTION

B. USER INTERFACE SPECIFICATIONS Startup Open Convert Saving Playing B. USER INTERFACE

Startup 1 B. USER INTERFACE

Open 2 B. USER INTERFACE

Open 2 B. USER INTERFACE

Convert B. USER INTERFACE 3

Saving 4 B. USER INTERFACE

Playing 5 B. USER INTERFACE

C. IMPLEMENTATION Extract Frames Foreground Extraction Parallax Stereo Image Generation Dubois Combine Frames C. IMPLEMENTATION

Extract Frames 1 C. IMPLEMENTATION

Foreground Extraction 2 C. IMPLEMENTATION

Foreground Extraction 2 C. IMPLEMENTATION

Parallax Stereo Image Generation 3 C. IMPLEMENTATION

Dubois 4 C. IMPLEMENTATION

Put frames back together to form video 5 C. IMPLEMENTATION

D. TESTING 3D Effect Ratings Depth Generation 1 D. TESTING 2

3D Effect Ratings 1 D. TESTING

RECAP – My role Manually inspecting each frame 2320 Frames in total 1786 Frames correct foreground estimation About 77% D. TESTING Acceptable 2. DEPTH MAP GENERATION

DEMO

Video

F. REFERENCE Bradski, G., & Kaehler, A., “Learning OpenCV. United States of America: O’Reilly Media, Inc.”, pp Changick, K., Jungwoo, P., Jaeho, L. & Jenq-Neng, H., Fast Extraction of Objects of Interest from Images with Low Depth of Field. ETRI, 29(3), pp Jaeseung, K., Manbae, K. & Changick, K., D-To-3D Stereoscopic Conversion: Depth-Map Estimation in a 2D Single-View Image. Applications of Digital Image Processing XXX, pp. 1-9.

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